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vigneshwar234
/
TemporalMesh-Transformer

Transformers
PyTorch
English
language-model
graph-attention
adaptive-depth
temporal-decay
efficient-llm
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use vigneshwar234/TemporalMesh-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vigneshwar234/TemporalMesh-Transformer with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("vigneshwar234/TemporalMesh-Transformer", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

v3 release: full paper, 5 TikZ diagrams, 25 tables, 5 algorithms — all open-source

#2 opened 2 days ago by
vigneshwar234

TMT v3: 30.2% PPL reduction at 48% compute — full paper, code & live demo released

#1 opened 2 days ago by
vigneshwar234
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